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Smart Door Lock using Face Recognition

Niketha Mohan Jamakhandi1 , Harshith M2 , Jagriti 3 , Priyanka Bharti4

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-14 , Page no. 376-379, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si14.376379

Online published on May 15, 2019

Copyright © Niketha Mohan Jamakhandi, Harshith M, Jagriti, Priyanka Bharti . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Niketha Mohan Jamakhandi, Harshith M, Jagriti, Priyanka Bharti, “Smart Door Lock using Face Recognition,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.14, pp.376-379, 2019.

MLA Style Citation: Niketha Mohan Jamakhandi, Harshith M, Jagriti, Priyanka Bharti "Smart Door Lock using Face Recognition." International Journal of Computer Sciences and Engineering 07.14 (2019): 376-379.

APA Style Citation: Niketha Mohan Jamakhandi, Harshith M, Jagriti, Priyanka Bharti, (2019). Smart Door Lock using Face Recognition. International Journal of Computer Sciences and Engineering, 07(14), 376-379.

BibTex Style Citation:
@article{Jamakhandi_2019,
author = {Niketha Mohan Jamakhandi, Harshith M, Jagriti, Priyanka Bharti},
title = {Smart Door Lock using Face Recognition},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {14},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {376-379},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1158},
doi = {https://doi.org/10.26438/ijcse/v7i14.376379}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i14.376379}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1158
TI - Smart Door Lock using Face Recognition
T2 - International Journal of Computer Sciences and Engineering
AU - Niketha Mohan Jamakhandi, Harshith M, Jagriti, Priyanka Bharti
PY - 2019
DA - 2019/05/15
PB - IJCSE, Indore, INDIA
SP - 376-379
IS - 14
VL - 07
SN - 2347-2693
ER -

           

Abstract

Artificial intelligence and machine learning are the buzz words in the industry as well as for research. The world is moving towards automation and a project in that field is a step closer towards it. The main idea of the project is to make smart door lock using face recognition. The face recognition is developed using artificial intelligence, image processing and machine learning. Based on the face that is recognized by the system it makes a decision based on what it has learnt. It decides whether to unlock the door or not. Machine learning is also used and implemented for the software to work efficiently. With the increase in the data set the efficiency will also increase. The system is shown and made to learn using different machine learning techniques. This project improves the security of homes and also makes it easier for segregation of the guests. Apart from this an app is used to send notifications to home owners so as to take appropriate actions. It is extremely useful as it solves one of the leading problems in the world.

Key-Words / Index Term

Machine Learning, Android, Artificial Intelligence, Face recognition

References

[1]Jain, Abhishek, et al. "IoT-Based Smart Doorbell Using Raspberry Pi." International Conference on Advanced Computing Networking and Informatics. Springer, Singapore, 2019.
[2]Sagar, D., and Murthy KR Narasimha. "Development and Simulation Analysis of a Robust Face Recognition Based Smart Locking System." Innovations in Electronics and Communication Engineering. Springer, Singapore, 2019. 3-14.
[3]Chaithanya, J. Krishna, GAE Satish Kumar, and T. Ramasri. "IoT-Based Embedded Smart Lock Control Using Face Recognition System." International Conference on ISMAC in Computational Vision and Bio-Engineering. Springer, Cham, 2018.
[4]Deshpande, Sameer, et al. "Smart Bell Notification System Using IoT." Journal of Network Communications and Emerging Technologies (JNCET) www. jncet. org 8.4 (2018).
[5]Hussein, A., Adda, M., Atieh, M., & Fahs, W. (2014). Smart home design for disabled people based on neural networks. Procedia Computer Science, 37, 117-126.
[6]https://internetofthingsagenda.techtarget.com/definition/Internet-of-Things-IoT
[7]https://www.techopedia.com/definition/190/artificial-intelligence-ai